Sr Data Engineer -- Assortment and Space Planning

Sr Data Engineer role focused on building and maintaining data pipeline infrastructure for Assortment and Space Planning self-service analytics and business applications.

Responsibilities

• Implement coding validation and ETL workflows to support reliable data integration
• Perform backup and optimization tasks to maintain pipeline performance, integrity, and correctness (code/configure/test)
• Design, build, and maintain scalable data pipeline architecture aligned to business requirements
• Translate business needs into data architecture decisions and pipeline deliverables
• Partner with team leads and cross-functional stakeholders to assess requirements and communicate pipeline opportunities

Position Purpose

• Build the infrastructure that structures and delivers data powering self-service analytics and production-grade business applications
• Acquire and integrate datasets aligned to business needs; transform data into actionable information via pipelines
• Own the end-to-end pipeline lifecycle: build, test, and maintain data pipeline architectures and data products
• Create data validation approaches and data quality tooling to improve monitoring, reliability, and confidence
• Use modern data engineering practices to cleanse, organize, and transform data
• Maintain, defend, and update data structures and data integrity through automated processes
• Establish design standards and assurance processes for data pipelines and applications to support compatibility and operability
• Review internal and external business and product requirements to recommend system and storage changes or upgrades
• Mentor and coach less experienced engineers; collaborate with data science, analytics, and application engineering to align on pipeline design
• Communicate pipeline decisions and data quality tradeoffs clearly to technical and non-technical partners

Requirements

• Must be 18 years of age or older
• Must be legally permitted to work in the United States
• Bachelor’s or Master’s in a quantitative or technical field (Computer Science, Engineering, Statistics, etc.) or relevant work experience
• 6+ years of relevant work experience
• Demonstrated experience in data architecture, data warehousing, and dimensional modeling
• Demonstrated experience developing and testing ETL/ELT jobs and pipelines, including orchestration configuration, automated CI/CD, automation scripts, and production pipeline support
• Experience with Dataform or dbt for transformation and pipeline orchestration
• Experience with Python or other high-level programming languages
• Experience defining and capturing metadata and ETL rules
• Experience building batch and streaming pipelines
• Experience writing and performance-tuning analytical SQL queries (preferably Google BigQuery)
• Ability to stitch and maintain data across multiple sources
• Ability to optimize pipeline runtime and reduce cost related to slot/storage consumption
• Ability to prioritize requests and manage a pipeline roadmap
• Ability to coach junior engineers on code quality, best practices, and data engineering fundamentals
• Strong verbal and written communication skills across all levels

Technologies

• Dataform
• dbt
• Python
• SQL
• Google BigQuery
• ETL
• ELT
• CI/CD

Location / Travel / Working Conditions

• Location: Atlanta, GA (onsite)
• Travel: typically overnight travel less than 10%
• Working conditions: comfortable indoor environment; any unpleasant conditions would be infrequent and not objectionable
• Physical requirements: most time spent sitting; frequent opportunity to move about; rare occasions may require moving or lifting light articles

Reporting

• Reports to the Technology Leader
• Direct reports: 0

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Apply end date: 09/23/2026